Michael S. Yao

13 papers A* 3Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization.
ICML
Michael S. Yao, James C. Gee, Osbert Bastani
2025 J jnl
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization.
CoRR
Michael S. Yao, James C. Gee, Osbert Bastani
2025 J jnl
Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine.
CoRR
Michael S. Yao, Osbert Bastani, Alma Andersson, Tommaso Biancalani, Aïcha BenTaieb, Claudia Iriondo
2024 J jnl
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data.
CoRR
Yifan Wu, Yang Liu, Yue Yang, Michael S. Yao, Wenli Yang, Xuehui Shi, Lihong Yang, Dongjun Li, Yueming Liu, James C. Gee, Xuan Yang, Wenbin Wei, Shi Gu
2024 A* conf
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis.
NeurIPS
Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
2024 J jnl
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis.
CoRR
Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
2024 J jnl
Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria.
CoRR
Michael S. Yao, Allison Chae, Charles E. Kahn Jr., Walter R. Witschey, James C. Gee, Hersh Sagreiya, Osbert Bastani
2024 J jnl
Generative Adversarial Bayesian Optimization for Surrogate Objectives.
CoRR
Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani
2024 A* conf
Generative Adversarial Model-Based Optimization via Source Critic Regularization.
NeurIPS
Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani
2023 — conf
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification.
PRIME@MICCAI
Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya
2022 — conf
A Path Towards Clinical Adaptation of Accelerated MRI.
ML4H@NeurIPS
Michael S. Yao, Michael S. Hansen
2022 J jnl
A Path Towards Clinical Adaptation of Accelerated MRI.
CoRR
Michael S. Yao, Michael S. Hansen
2022 J jnl
Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes.
CoRR
Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya